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Laser enhanced photothermal effect of silver nanoparticles synthesized by chemical and green method on Gram-positive and Gram-negative bacteria

Autor: Elham M. Mostafa, Y. Badr, Marwa A. Ramadan, Mohamed M. M. Hashem, Khaled Abo-El-Sooud, Heba N. Deif, Amna H. Faid

Publikováno v: BMC Chemistry, Vol 18, Iss 1, Pp 1-14 (2024)

Abstract Purpose The antibacterial properties of silver nanoparticles (AgNPs) are extensively identified. In large quantities, they might be harmful. So many fields of nanotechnology have shown a great deal of interest in the development of an enviro

Externí odkaz: https://doaj.org/article/031512e6735c46808e462ca8c51ccfa6

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Akademický článek

Toll-like receptors and nuclear factor kappa B signaling pathway involvement in hepatorenal oxidative damage induced by some food preservatives in rats

Autor: Yasmina M. Abd-Elhakim, Amany Behairy, Mohamed M. M. Hashem, Khaled Abo-EL-Sooud, Abeer E. El-Metwally, Bayan A. Hassan, Haytham A. Ali

Publikováno v: Scientific Reports, Vol 13, Iss 1, Pp 1-14 (2023)

Abstract Chemical food preservatives are extensively found in various processed food products in the human environment. Hence, this study aimed to investigate the effect of long-term exposure to five food preservatives (potassium sorbate (PS), butyla

Externí odkaz: https://doaj.org/article/43250ff3992947d0aea3209c17d03324

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Akademický článek

A Novel Multi-Module Approach to Predict Crime Based on Multivariate Spatio-Temporal Data Using Attention and Sequential Fusion Model

Autor: Nowshin Tasnim, Iftekher Toufique Imam, M. M. A. Hashem

Publikováno v: IEEE Access, Vol 10, Pp 48009-48030 (2022)

Forecasting crime is complex since several complicated aspects contribute to a crime. Predicting crime becomes more challenging because of the enormous number of everyday crime episodes in varied places. Though there are many established machine lear

Externí odkaz: https://doaj.org/article/bc389dd2ffcc4240b4b7d381c57bcd5f

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Akademický článek

A Novel Technique for Non-Invasive Measurement of Human Blood Component Levels From Fingertip Video Using DNN Based Models

Autor: Md. Rezwanul Haque, S. M. Taslim Uddin Raju, Md. Asaf-Uddowla Golap, M. M. A. Hashem

Publikováno v: IEEE Access, Vol 9, Pp 19025-19042 (2021)

Blood components such as hemoglobin, glucose, creatinine measuring are essential for monitoring one's health condition. The current blood component measurement approaches still depend on invasive techniques that are painful, and uncomfortable for the

Externí odkaz: https://doaj.org/article/f4e6ec24a5c7430a89c60c9db1fc6b64

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Akademický článek

Estimation of Road Boundary for Intelligent Vehicles Based on DeepLabV3+ Architecture

Autor: Sunanda Das, Awal Ahmed Fime, Nazmul Siddique, M. M. A. Hashem

Publikováno v: IEEE Access, Vol 9, Pp 121060-121075 (2021)

Road boundary estimation is an essential task for autonomous vehicles and intelligent driving assistants. It is considerably straightforward to attain the task when roads are marked properly with indicators. However, estimating road boundary reliably

Externí odkaz: https://doaj.org/article/eab223f4ccdf40bbbc25f50ff8e49c88

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Ameliorative effects of quercetin against hepatic toxicity of oral sub-chronic co-exposure to aluminum oxide nanoparticles and lead-acetate in male rats

Autor: Khaled Abo-EL-Sooud, Yasmina M. Abd-Elhakim, Mohamed M. M. Hashem, Abeer E. El-Metwally, Bayan A. Hassan, Hayat H. M. El-Nour

Publikováno v: Naunyn-Schmiedeberg's Archives of Pharmacology. 396:737-747

The present study was designed to evaluate the probable ameliorative role of quercetin (QCN) against oxidative hepatotoxicity induced by aluminum oxide nanoparticles (Al2O3NPs) with a diameter n = 10 each) and were treated orally via orogastric gavag

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::4f65f54d5e79972135b31f93e7d82243
https://doi.org/10.1007/s00210-022-02351-y

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Akademický článek

Corrections to 'A Novel Technique for Non-Invasive Measurement of Human Blood Component Levels From Fingertip Video Using DNN Based Models'

Autor: MD. Rezwanul Haque, S. M. Taslim Uddin Raju, MD. Asaf-Uddowla Golap, M. M. A. Hashem

Publikováno v: IEEE Access, Vol 9, Pp 84178-84179 (2021)

In the above article [1], the details of the data collection source and data collection protocol were not included.

Externí odkaz: https://doaj.org/article/a451aa158cad48daa543cf947f3210ce

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A Novel Technique for Continuous Blood Pressure Estimation from Optimal Feature Set of PPG Signal Using Deep Learning Approach

Autor: S. M. Taslim Uddin Raju, Safin Ahmed Dipto, Md Imran Hossain, Md. Abu Shahid Chowdhury, Fabliha Haque, Ayesha Tun Nashrah, Araf Nishan, Ashfaq Ahmad, Mostafa Zaman Chowdhury, M. M. A. Hashem

Continuous Blood Pressure (BP) provides essential information for monitoring one's health condition. However, BP is currently monitoring using uncomfortable cuff-based devices, which does not support continuous BP monitoring. This paper aims to intro

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::285a261170db79c1c384f61f3c93f4fa
https://doi.org/10.21203/rs.3.rs-2624386/v1

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